Wed.Jul 17, 2024

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Conditional Aggregation in SQL

Analytics Vidhya

Introduction The realm of data offers vast capabilities and numerous challenges. Whether you are a data analyst, data scientist, or data engineer, summarizing and aggregating data is essential. This skill helps distill complex information into meaningful insights, driving informed decisions across various industries like finance, healthcare, retail, and technology.

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The Transformative Impact of Generative AI on Software Development and Quality Engineering

Unite.AI

Over the years, the quality of software and the processes by which it is built have gained traction. This has led enterprises to transition from Quality Assurance (QA) to Quality Engineering (QE). With this, enterprises have started to connect the results of the quality function with overall business outcomes. With the increased hype and adoption of newer technologies such as generative AI , it has become more critical to understand the implications for processes, people, and technology and the

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Understanding Duck Typing in Python

Analytics Vidhya

Introduction Imagine a world where the type of an object doesn’t matter as long as it performs the expected actions. This approach makes your code more flexible and easier to manage. Enter duck typing—a powerful programming model that focuses on what an object can do rather than what it is. This article will show you […] The post Understanding Duck Typing in Python appeared first on Analytics Vidhya.

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10 Best AI Character Generators (July 2024)

Unite.AI

Artificial intelligence has significantly advanced the field of character creation, providing artists, writers, and developers with powerful tools to realize their concepts. AI character generators have emerged as efficient solutions for creating detailed, unique characters rapidly. These tools, ranging from text-prompt systems to image-based transformations, are redefining character design across various media.

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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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The 10 Best Books on Time Series Analysis

Analytics Vidhya

Introduction Finding your way around the complex realm of time series analysis might be likened to discovering a gold mine of information concealed in data. For anybody interested in learning more about this intriguing topic, the trip frequently starts with the correct guidebooks. The books you select can greatly affect your level of knowledge in […] The post The 10 Best Books on Time Series Analysis appeared first on Analytics Vidhya.

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What is Skeleton of Thoughts and its Python Implementation?

Analytics Vidhya

Introduction Imagine having the full potential of your favorite AI assistant, transforming it from a helpful tool into a creative powerhouse. Picture a world where your interactions with Large Language Models(LLMs) are efficient, profoundly intuitive, and impactful. Enter the Skeleton of Thoughts (SoT) – a groundbreaking framework poised to revolutionize artificial intelligence and natural language […] The post What is Skeleton of Thoughts and its Python Implementation?

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Decoding How AI-Powered Upscaling on NVIDIA RTX Improves Video Quality

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC and workstation users. Video is everywhere — nearly 80% of internet bandwidth today is used to stream video from content providers and social networks. While screens have become bigger and support higher resolutions, nearly all video is only 1080p quality or lower.

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Textual Statistical Analysis Using pyNLPL (Pineapple) Library

Analytics Vidhya

Introduction Statistical Analysis of text is one of the important steps of text pre-processing. It helps us understand our text data in a deep, mathematical way. This type of analysis can help us understand hidden patterns, and the weight of specific words in a sentence, and overall, helps in building good language models. The pyNLPL […] The post Textual Statistical Analysis Using pyNLPL (Pineapple) Library appeared first on Analytics Vidhya.

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Nvidia AI Releases BigVGAN v2: A State-of-the-Art Neural Vocoder Transforming Audio Synthesis

Marktechpost

In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by converting Mel spectrograms into high-fidelity waveforms. This team has thoroughly examined the main enhancements and ideas that set BigVGAN v2 apart. One of BigVGAN v2’s most notable features is its unique inference CUDA kernel, which combines fused upsampling and activation processes.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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What is the XLOOKUP Function in Excel?

Analytics Vidhya

Explore the XLOOKUP function in Excel, a versatile and modern alternative to VLOOKUP and HLOOKUP, with advanced capabilities, benefits & more

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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning Blog

As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily accessible. This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor ,

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Learning Path to Become a Prompt Engineering Specialist

Analytics Vidhya

Introduction As the field of artificial intelligence (AI) continues to evolve, prompt engineering has emerged as a promising career. The skill for effectively interacting with large language models (LLMs) is one many are trying to master today. Do you wish to do the same? Are you wondering where to start and how to go about […] The post Learning Path to Become a Prompt Engineering Specialist appeared first on Analytics Vidhya.

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Amazon SageMaker unveils the Cohere Command R fine-tuning model

AWS Machine Learning Blog

AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere Command R is a scalable, frontier LLM designed to handle enterprise-grade workloads with ease.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Fundamentals of Python Programming for Beginners

Analytics Vidhya

Introduction If you’ve been in the data field for quite some time, you’ve probably noticed that some technical skills are becoming more dominant, and the data backs this up. Until the release of NumPy in 2005, Python was considered slow for numeric analysis. But Numpy changed that. Pandas, in 2008, made Python the best language […] The post Fundamentals of Python Programming for Beginners appeared first on Analytics Vidhya.

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Important LLMs Papers for the Week from 08/07 to 14/07

Towards AI

Last Updated on July 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Second Week of July 2024.

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Leya Bags $25m As Legal GenAI Funding Grows

Artificial Lawyer

Leya has raised $25m in a Series A funding round. It’s one of a number of legal genAI-based startups recently to secure significant funding, from Harvey to LegalFly to Hebbia.

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SpaceX Tests Super Heavy Engines Ahead of Fifth Starship Test Flight

Extreme Tech

The company has hinted it might try to catch the Super Heavy stage next time.

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Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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GenAI Legal Research? Bloomberg Law Can Do It Too

Artificial Lawyer

We’ve heard about Thomson Reuters, LexisNexis, and vLex providing genAI legal research tools, but Bloomberg Law wants in on this too. It has now enhanced.

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Noctua's New NH-D15 G2 CPU Cooler Plagued by Complaints of Rattling Sounds

Extreme Tech

The manufacturer thinks something might have been knocked loose in shipping.

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A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion

Towards AI

Last Updated on July 19, 2024 by Editorial Team Author(s): Anmol Tomar Originally published on Towards AI. A one-stop solution for understanding Descriptive StatisticsImage generated through AI by Author In a world filled with data, statistics is the compass guiding us through the huge seas of numbers. Statistics play an important role in predicting the weather, analyzing market trends, or assessing public health.

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New Leak Reveals 16-Core Intel Panther Lake Mobile Chip

Extreme Tech

It will reportedly replace Arrow Lake mobile in late 2025.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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LexisNexis Launches ‘Nexis+ AI’ For Corporate Research

Artificial Lawyer

You’ve heard of Lexis+ AI for legal research, well, this is not that. This is Nexis+ AI – and its purpose, while also running on genAI, is quite different.

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9.9 Billion-Password Leak Was Partly a Fluke, Cybersecurity Researcher Says

Extreme Tech

While some leaked credentials are legitimate, many are AI-generated and wouldn't fly on a real website.

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Mistral AI Launches Codestral Mamba 7B: A Revolutionary Code LLM Achieving 75% on HumanEval for Python Coding

Marktechpost

In a notable tribute to Cleopatra, Mistral AI has announced the release of Codestral Mamba 7B , a cutting-edge language model (LLM) specialized in code generation. Based on the Mamba2 architecture, this new model marks a significant milestone in AI and coding technology. Released under the Apache 2.0 license, Codestral Mamba 7B is available for free use, modification, and distribution, promising to open new avenues in AI architecture research.

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All Four New Pixel 9 Phones Leaked by Taiwanese Regulator

Extreme Tech

Taiwan’s National Communications Commission (NCC) published images of all four new Pixel phones.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

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MELLE: A Novel Continuous-Valued Tokens-based Language Modeling Approach for Text-to-Speech Synthesis (TTS)

Marktechpost

In the realm of Large language models (LLMs), there has been a significant transformation in text generation, prompting researchers to explore their potential in audio synthesis. The challenge lies in adapting these models for text-to-speech (TTS) tasks while maintaining high-quality output. Current methodologies, such as neural codec language models like VALL-E, face several limitations.

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ESA Announces 'Ramses' Mission to Study Near-Earth Asteroid Apophis

Extreme Tech

The ESA will have to work fast to get Ramses launched in time to meet its target.

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GraphRAG Is the Logical Step From RAG — So Why the Sudden Hype?

Towards AI

Author(s): Daniel Voyce Originally published on Towards AI. Photo by Steve Johnson on Unsplash It seems like everyone is currently talking about GraphRAG as the successor to RAG (Retrieval-Augmented Generation) in the Generative AI / LLM world right now. But is it actually that much of a surprise? I posit that its not and that its actually a very logical progression when you look at the strengths and weaknesses of LLMs.

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